Evidence map›Paper›PMID 38579245›Full record

ArticleBioinformatics (Oxford, England)2024

VarChat: the generative AI assistant for the interpretation of human genomic variations.

Federica De Paoli, Silvia Berardelli, Ivan Limongelli, Ettore Rizzo, Susanna Zucca

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Genotype-phenotype correlations inOncology reviews · 2025
    Pooled it
  2. Pooled it
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  6. Article
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  8. ComprehensiveFrontiers in cell and developmental biology · 2026
    Article
  9. Review
  10. What Should a Clinical Cardiologist Know About Cardiogenetics?Journal of the American Heart Association · 2025
    Review
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  12. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Federica De PaolienGenome srl, via Ferrata, 5, Pavia, 27100, Italy.
Silvia BerardellienGenome srl, via Ferrata, 5, Pavia, 27100, Italy.
Ivan LimongellienGenome srl, via Ferrata, 5, Pavia, 27100, Italy.
Ettore RizzoenGenome srl, via Ferrata, 5, Pavia, 27100, Italy.
Susanna ZuccaenGenome srl, via Ferrata, 5, Pavia, 27100, Italy.ORCID 0000-0001-8465-632X

Funding

European Union 190164416
6 · The paper itself

Abstract

motivationIn the modern era of genomic research, the scientific community is witnessing an explosive growth in the volume of published findings. While this abundance of data offers invaluable insights, it also places a pressing responsibility on genetic professionals and researchers to stay informed about the latest findings and their clinical significance. Genomic variant interpretation is currently facing a challenge in identifying the most up-to-date and relevant scientific papers, while also extracting meaningful information to accelerate the process from clinical assessment to reporting. Computer-aided literature search and summarization can play a pivotal role in this context. By synthesizing complex genomic findings into concise, interpretable summaries, this approach facilitates the translation of extensive genomic datasets into clinically relevant insights.

resultsTo bridge this gap, we present VarChat (varchat.engenome.com), an innovative tool based on generative AI, developed to find and summarize the fragmented scientific literature associated with genomic variants into brief yet informative texts. VarChat provides users with a concise description of specific genetic variants, detailing their impact on related proteins and possible effects on human health. In addition, VarChat offers direct links to related scientific trustable sources, and encourages deeper research. AVAILABILITY AND IMPLEMENTATION: varchat.engenome.com.

Indexed as

Genetic VariationGenome, HumanGenomicsArtificial IntelligenceDatabases, GeneticHumansSoftware

Identifiers

PMID38579245
PMCPMC11055464

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.